At Articul8 AI, the business problem is to advance the capabilities of AI systems, specifically Generative Artificial Intelligence (GenAI), to exceed customer expectations and maintain technological leadership in the market.
Requirements
- Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments
- A strong background in parallel/distributed computing on the cloud
- Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation
- Proficiency in programming languages such as Python
- Experience working with version control systems (e.g., Git) and collaborating on code repositories
- Experience with cloud computing platforms such as AWS, Azure, or GCP
- Proven track record of publications in top-tier conferences and journals
Responsibilities
- Serve as the subject matter expert in various domains of GenAI research and development, including data pipelines, training methodologies, reinforcement learning, multimodal AI, personalization, and knowledge representation and retrieval
- Design and optimize data processing workflows for large-scale model training
- Implement pre-training, mid-training, and post-training strategies and optimization techniques
- Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasks
- Create systems that effectively process and generate across text, image, audio, and video modalities
- Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendations
- Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval
Other
- PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field
- 5+ years of experience as an AI researcher with a track record of applied research and/or product development
- Ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence
- Proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives
- Ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base
